gstdl / e-commerce-Customer-RFM-Analysis

RFM Analysis and EDA on customer's in an e-commerce

e-commerce-Customer-RFM-Analysis

RFM Analysis and EDA on customer's in an e-commerce

Dataset Source:

https://www.kaggle.com/olistbr/brazilian-ecommerce

Tools and Language:

1. Python
2. PySpark (SQL)
3. Pandas
4. Matplotlib and Seaborn

Findings:

1. 80% of the customers in OLIST are low spenders with total spending less than 250 pesos
2. Focusing on engaging these customers to spend more often will eventually lead them to be OLIST's best customer
3. The ideal spending per purchase for these customers marketing campaign would be around 80 to 120 pesos
4. There are still no particular product which engages the best customers better